White Mountains Insurance (WTM) Receivables (2009 - 2026)
White Mountains Insurance's Receivables came in at $1.47 billion for Q2 2026, up 1.5% from $1.45 billion a year earlier and up 12.7% from the prior quarter.
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Analysis
White Mountains Insurance (WTM) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, White Mountains Insurance's Receivables was $848.4 million, up 10.4% from FY2024.
- Receivables has increased in each of the last eight years, with a five-year compound annual growth rate of 61.7% (FY2020 to FY2025).
- Going back by year, Receivables was $768.6 million in FY2024 (+25.5%), $612.2 million in FY2023 (+12.5%), $544.1 million in FY2022 (+28.7%) and $422.9 million in FY2021 (+451.4%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2009.
- Year-over-year, Receivables has increased for 29 consecutive quarters, with growth averaging 16.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Receivables ran from 1.5% in Q2 2026 to 622.6% in Q3 2021.
- Business Quant data shows WTM's Receivables at $1.31 billion (Q1 2026), $848.4 million (Q4 2025) and $1.15 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 54.42 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 19.07 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 17.11 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 8.94 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 12.38 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 50.64 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 8.76 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 11.86 Bn |
| 10 | White Mountains Insurance | 4.81 Bn | -5.87 Bn | 764.50 Mn | 1.47 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.47 Bn |
| Mar 31, 2026 | 1.31 Bn |
| Dec 31, 2025 | 848.40 Mn |
| Sep 30, 2025 | 1.15 Bn |
| Jun 30, 2025 | 1.45 Bn |
| Mar 31, 2025 | 1.27 Bn |
| Dec 31, 2024 | 768.60 Mn |
| Sep 30, 2024 | 993.00 Mn |
| Jun 30, 2024 | 1.18 Bn |
| Mar 31, 2024 | 1.00 Bn |
| Dec 31, 2023 | 612.20 Mn |
| Sep 30, 2023 | 781.60 Mn |
| Jun 30, 2023 | 1.08 Bn |
| Mar 31, 2023 | 916.00 Mn |
| Dec 31, 2022 | 544.10 Mn |
| Sep 30, 2022 | 705.20 Mn |
| Jun 30, 2022 | 901.70 Mn |
| Mar 31, 2022 | 766.50 Mn |
| Dec 31, 2021 | 422.90 Mn |
| Sep 30, 2021 | 489.20 Mn |
API Access
White Mountains Insurance Receivables API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=receivables&ticker=WTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "WTM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();